Identification of endometrial cancer biomarkers using weighted gene coexpression network analysis and machine learning

This study found that high MAL expression is significantly correlated with poor prognosis in endometrial cancer patients, which is consistent with its functional role in promoting tumor cell proliferation and invasion. However, after adjusting for clinical factors such as stage and grade, the independent prognostic effect of MAL on overall survival was not prominent, suggesting that it may more likely reflect the extent of tumor progression and adverse clinical features, rather than serving as a sole determinant of prognosis. Therefore, MAL can be regarded as a molecular marker closely associated with disease progression and survival outcomes, and it holds potential for providing auxiliary value in risk stratification and personalized management when combined with clinical parameters.